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Gene expression profiling in adrenocortical neoplasia
Molecular and Cellular Endocrinology, 2012Transcriptome studies of adrenocortical tumors have shown clear differences between adenomas and carcinomas and identified two subgroups of carcinomas with different prognoses. This review focuses on how transcriptomes have enriched our knowledge about genes previously identified by classical candidate gene approaches, uncovered novel genes relevant to
Jérôme Bertherat +2 more
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Gene Expression Profiling: Metatranscriptomics
2011Metatranscriptomics has been developed to help understand how communities respond to changes in their environment. Metagenomic studies provided a snapshot of the genetic composition of the community at any given time. However, short-timescale studies investigating the response of communities to rapid environmental changes (e.g.
Jack A. Gilbert, Margaret Hughes
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Methods to Profile Gene Expression
Trends in Cardiovascular Medicine, 2001Molecular biology has been influenced tremendously by recent technological advancements in miniaturization and automation. One consequence has been the development of robust and sensitive methods to analyze gene expression. The ability to evaluate systematically the expression of every mammalian gene is now technically feasible.
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Tissue Classification with Gene Expression Profiles
Journal of Computational Biology, 2000Constantly improving gene expression profiling technologies are expected to provide understanding and insight into cancer-related cellular processes. Gene expression data is also expected to significantly aid in the development of efficient cancer diagnosis and classification platforms.
Zohar Yakhini +5 more
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Gene expression profiling of Arabidopsis meiocytes
Plant Biology, 2011AbstractMeiosis is a special type of cell division present in all organisms that reproduce by sexual reproduction. It ensures the transition between the sporophytic and gametophytic state and allows gamete production through meiotic recombination and chromosome number reduction.
Libeau, Pierre +7 more
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Gene Expression Profiling of Breast Cancer
Annual Review of Pathology: Mechanisms of Disease, 2007DNA microarray platforms for gene expression profiling were invented relatively recently, and breast cancer has been among the earliest and most intensely studied diseases using this technology. The molecular signatures so identified help reveal the biologic spectrum of breast cancers, provide diagnostic tools as well as prognostic and predictive gene ...
Matt van de Rijn +2 more
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A gene-expression profile for leukaemia
Nature, 2016Can simple genetic risk profiles be identified for complex diseases? The development of a gene-expression profile for acute myeloid leukaemia suggests that they can, and that they may improve prognosis prediction.
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2010
Gene expression (GE) analyses by use of microarrays (MAs) have become an important part of biomedical and clinical research and the resulting data may provide important information regarding pathogenesis and be extrapolated for use in diagnosing/prognosticating lymphomas and leukemias.
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Gene expression (GE) analyses by use of microarrays (MAs) have become an important part of biomedical and clinical research and the resulting data may provide important information regarding pathogenesis and be extrapolated for use in diagnosing/prognosticating lymphomas and leukemias.
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Gene Expression Profiling in Seminoma and Nonseminoma
Journal of Urology, 2005Purpose Gene expression profiles of seminoma were compared with nonseminoma to get insights into tumorigenesis. Materials and Methods Eleven testicular tumor biopsies (five pure seminoma, six nonseminoma; pT1N0M0 to pT2N2M1) and biopsies from unaffected sites were analyzed once per patient using a macroarray (1,176 genes).
Hans U. Schmelz +6 more
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Tumor-specific gene expression patterns with gene expression profiles
Science in China Series C, 2006Gene expression profiles of 14 common tumors and their counterpart normal tissues were analyzed with machine learning methods to address the problem of selection of tumor-specific genes and analysis of their differential expressions in tumor tissues. First, a variation of the Relief algorithm, "RFE_Relief algorithm" was proposed to learn the relations ...
Jinlian Wang +4 more
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